{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5b33de38",
   "metadata": {},
   "source": [
    "<center><font color=gray size=6>Week01 交互式数据可视化</font></center>\n",
    "<br/>\n",
    "<center><font color=gray size=4>2022.03.02</font></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b23b6fbf",
   "metadata": {},
   "source": [
    "# 学习目标\n",
    "-----\n",
    "\n",
    "## 了解常用的交互式可视化的工具\n",
    "\n",
    "* 1. [Apache ECharts](https://echarts.apache.org/zh/index.html)\n",
    "> 一个基于 JavaScript 的开源可视化图表库\n",
    "\n",
    "* 2. [pyecharts](https://pyecharts.org/#/)\n",
    "> A Python Echarts Plotting Library(Python Echarts绘图库)\n",
    "\n",
    "* 3. [Bokeh](https://docs.bokeh.org/en/latest/)\n",
    "> Bokeh is a Python library for creating interactive visualizations for modern web browsers\n",
    "\n",
    "\n",
    "## 从Bokeh开始入手"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83c1d2d2",
   "metadata": {},
   "source": [
    "### 词条说明\n",
    "\n",
    "| 词条 | 用途 | 词条 | 用途 |\n",
    "| ----------- | ----------- | ----------- | ----------- |\n",
    "| application | Title | Header | Title |\n",
    "| Paragraph | Text | Paragraph | Text |\n",
    "\n",
    "### 绘图步骤\n",
    "\n",
    "* bokeh的一般步骤\n",
    "\n",
    "> 1. 展示方式\n",
    "> 1. 准备数据\n",
    "> 1. 画布基本属性\n",
    "> 1. 绘图\n",
    "> 1. 画布其他属性\n",
    "> 1. 显示或保存\n",
    "\n",
    "### 代码示例结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "94636588",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1002\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  const force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  const JS_MIME_TYPE = 'application/javascript';\n",
       "  const HTML_MIME_TYPE = 'text/html';\n",
       "  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  const CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    const script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    const cell = handle.cell;\n",
       "\n",
       "    const id = cell.output_area._bokeh_element_id;\n",
       "    const server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd_clean, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            const id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd_destroy);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    const output_area = handle.output_area;\n",
       "    const output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      const bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      const script_attrs = bk_div.children[0].attributes;\n",
       "      for (let i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      const toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    const events = require('base/js/events');\n",
       "    const OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  const NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    const el = document.getElementById(\"1002\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error(url) {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < css_urls.length; i++) {\n",
       "      const url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < js_urls.length; i++) {\n",
       "      const url = js_urls[i];\n",
       "      const element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n",
       "  const css_urls = [];\n",
       "  \n",
       "\n",
       "  const inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (let i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.2.min.js\"];\n  const css_urls = [];\n  \n\n  const inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 准备工作\n",
    "# 导入库\n",
    "from bokeh.plotting import figure, output_notebook, show\n",
    "output_notebook() # 在notebook中显示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5952b873",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 输入数据\n",
    "x = [1,2,3,4,5]\n",
    "y = [6,8,2,4,5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2f36a229",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"655e767a-c5be-422b-8c54-8433db03a3b1\" data-root-id=\"1003\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"722153fb-1175-498c-b28d-7356d2be2241\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1012\"}],\"center\":[{\"id\":\"1015\"},{\"id\":\"1019\"}],\"height\":400,\"left\":[{\"id\":\"1016\"}],\"renderers\":[{\"id\":\"1038\"}],\"title\":{\"id\":\"1040\"},\"toolbar\":{\"id\":\"1027\"},\"width\":400,\"x_range\":{\"id\":\"1004\"},\"x_scale\":{\"id\":\"1008\"},\"y_range\":{\"id\":\"1006\"},\"y_scale\":{\"id\":\"1010\"}},\"id\":\"1003\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1043\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1034\"},\"glyph\":{\"id\":\"1035\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1037\"},\"nonselection_glyph\":{\"id\":\"1036\"},\"view\":{\"id\":\"1039\"}},\"id\":\"1038\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"navy\"},\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"value\":\"navy\"},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"navy\"},\"size\":{\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1037\",\"type\":\"Circle\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1026\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"source\":{\"id\":\"1034\"}},\"id\":\"1039\",\"type\":\"CDSView\"},{\"attributes\":{\"tools\":[{\"id\":\"1020\"},{\"id\":\"1021\"},{\"id\":\"1022\"},{\"id\":\"1023\"},{\"id\":\"1024\"},{\"id\":\"1025\"}]},\"id\":\"1027\",\"type\":\"Toolbar\"},{\"attributes\":{\"data\":{\"x\":[1,2,3,4,5],\"y\":[6,8,2,4,5]},\"selected\":{\"id\":\"1049\"},\"selection_policy\":{\"id\":\"1048\"}},\"id\":\"1034\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"navy\"},\"hatch_alpha\":{\"value\":0.5},\"hatch_color\":{\"value\":\"navy\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"value\":\"navy\"},\"size\":{\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1035\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1021\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1044\",\"type\":\"AllLabels\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"navy\"},\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"value\":\"navy\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"navy\"},\"size\":{\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1036\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1046\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1017\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1049\",\"type\":\"Selection\"},{\"attributes\":{\"axis\":{\"id\":\"1016\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1019\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1025\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1006\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1047\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1004\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1023\",\"type\":\"SaveTool\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1043\"},\"group\":null,\"major_label_policy\":{\"id\":\"1044\"},\"ticker\":{\"id\":\"1017\"}},\"id\":\"1016\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1048\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1046\"},\"group\":null,\"major_label_policy\":{\"id\":\"1047\"},\"ticker\":{\"id\":\"1013\"}},\"id\":\"1012\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1010\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1008\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"1040\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1020\",\"type\":\"PanTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1026\"}},\"id\":\"1022\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"axis\":{\"id\":\"1012\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1015\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1013\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1024\",\"type\":\"ResetTool\"}],\"root_ids\":[\"1003\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"722153fb-1175-498c-b28d-7356d2be2241\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"655e767a-c5be-422b-8c54-8433db03a3b1\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1003"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画布：尺寸\n",
    "p = figure(plot_width=400, plot_height = 400)\n",
    "p.circle(x,y,size=20,color=\"navy\",alpha=0.5)\n",
    "\n",
    "# 显示\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66847a1e",
   "metadata": {},
   "source": [
    "# 绘制基本图形\n",
    "\n",
    "## 绘图方法\n",
    "\n",
    "* 基本图元\n",
    "> Bokeh figure()类 基本图元绘制方法，灵活的使用，可以绘制复杂图形，图形可以用不同的基本图元实现"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b3a961d",
   "metadata": {},
   "source": [
    "## 依次分开绘制基本图元"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ad1d6e3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 基本图元绘制 准备工作 - 导入库\n",
    "import numpy as np\n",
    "from bokeh.layouts import gridplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ea39b5d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据\n",
    "N=9\n",
    "x=np.linspace(-2, 2, N)\n",
    "y=x**2  # 抛物线\n",
    "sizes = np.linspace(10, 20, N)\n",
    "xpts = np.array([-.09, -.12, .0, .12, .09])\n",
    "ypts = np.array([-.1, .02, .1, .02, -.1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b830b38e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 画布列表\n",
    "figures = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a94724f2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"4310f196-ff94-473c-8a35-070c8845598f\" data-root-id=\"1106\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"dd5a6631-ada6-4ed8-b7f2-906bbdb6d88c\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1117\"}],\"center\":[{\"id\":\"1120\"},{\"id\":\"1124\"}],\"left\":[{\"id\":\"1121\"}],\"renderers\":[{\"id\":\"1143\"}],\"title\":{\"id\":\"1107\"},\"toolbar\":{\"id\":\"1132\"},\"x_range\":{\"id\":\"1109\"},\"x_scale\":{\"id\":\"1113\"},\"y_range\":{\"id\":\"1111\"},\"y_scale\":{\"id\":\"1115\"}},\"id\":\"1106\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1163\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"tools\":[{\"id\":\"1125\"},{\"id\":\"1126\"},{\"id\":\"1127\"},{\"id\":\"1128\"},{\"id\":\"1129\"},{\"id\":\"1130\"}]},\"id\":\"1132\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1128\",\"type\":\"SaveTool\"},{\"attributes\":{\"axis\":{\"id\":\"1121\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1124\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1109\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1111\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1130\",\"type\":\"HelpTool\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"annular_wedge\"},\"id\":\"1107\",\"type\":\"Title\"},{\"attributes\":{\"overlay\":{\"id\":\"1131\"}},\"id\":\"1127\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1161\"},\"group\":null,\"major_label_policy\":{\"id\":\"1162\"},\"ticker\":{\"id\":\"1118\"}},\"id\":\"1117\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1129\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1162\",\"type\":\"AllLabels\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1139\"},\"glyph\":{\"id\":\"1140\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1142\"},\"nonselection_glyph\":{\"id\":\"1141\"},\"view\":{\"id\":\"1144\"}},\"id\":\"1143\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1158\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1161\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1122\",\"type\":\"BasicTicker\"},{\"attributes\":{\"source\":{\"id\":\"1139\"}},\"id\":\"1144\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1113\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1158\"},\"group\":null,\"major_label_policy\":{\"id\":\"1159\"},\"ticker\":{\"id\":\"1122\"}},\"id\":\"1121\",\"type\":\"LinearAxis\"},{\"attributes\":{\"end_angle\":{\"value\":4.1},\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"#8888ee\"},\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"value\":\"#8888ee\"},\"inner_radius\":{\"units\":\"screen\",\"value\":10},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"#8888ee\"},\"outer_radius\":{\"units\":\"screen\",\"value\":20},\"start_angle\":{\"value\":0.6},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1142\",\"type\":\"AnnularWedge\"},{\"attributes\":{},\"id\":\"1159\",\"type\":\"AllLabels\"},{\"attributes\":{\"end_angle\":{\"value\":4.1},\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#8888ee\"},\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"value\":\"#8888ee\"},\"inner_radius\":{\"units\":\"screen\",\"value\":10},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#8888ee\"},\"outer_radius\":{\"units\":\"screen\",\"value\":20},\"start_angle\":{\"value\":0.6},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1141\",\"type\":\"AnnularWedge\"},{\"attributes\":{\"end_angle\":{\"value\":4.1},\"fill_color\":{\"value\":\"#8888ee\"},\"hatch_color\":{\"value\":\"#8888ee\"},\"inner_radius\":{\"units\":\"screen\",\"value\":10},\"line_color\":{\"value\":\"#8888ee\"},\"outer_radius\":{\"units\":\"screen\",\"value\":20},\"start_angle\":{\"value\":0.6},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1140\",\"type\":\"AnnularWedge\"},{\"attributes\":{},\"id\":\"1164\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1126\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"axis\":{\"id\":\"1117\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1120\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1118\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"1164\"},\"selection_policy\":{\"id\":\"1163\"}},\"id\":\"1139\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1115\",\"type\":\"LinearScale\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1131\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1125\",\"type\":\"PanTool\"}],\"root_ids\":[\"1106\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"dd5a6631-ada6-4ed8-b7f2-906bbdb6d88c\",\"root_ids\":[\"1106\"],\"roots\":{\"1106\":\"4310f196-ff94-473c-8a35-070c8845598f\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1106"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. 环状楔\n",
    "# 画布\n",
    "p = figure(title=\"annular_wedge\")\n",
    "# 绘制\n",
    "p.annular_wedge(x, y, 10, 20, 0.6, 4.1, color=\"#8888ee\",inner_radius_units=\"screen\", outer_radius_units=\"screen\")\n",
    "# 显示图形\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "01b3ecc2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"29f13694-a7ce-48f3-918f-edfd3eb35713\" data-root-id=\"1216\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"657b3850-0933-482c-aaef-75072316b55c\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1227\"}],\"center\":[{\"id\":\"1230\"},{\"id\":\"1234\"}],\"left\":[{\"id\":\"1231\"}],\"renderers\":[{\"id\":\"1253\"}],\"title\":{\"id\":\"1217\"},\"toolbar\":{\"id\":\"1242\"},\"x_range\":{\"id\":\"1219\"},\"x_scale\":{\"id\":\"1223\"},\"y_range\":{\"id\":\"1221\"},\"y_scale\":{\"id\":\"1225\"}},\"id\":\"1216\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"#7FC97F\"},\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"value\":\"#7FC97F\"},\"inner_radius\":{\"units\":\"screen\",\"value\":10},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"#7FC97F\"},\"outer_radius\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1252\",\"type\":\"Annulus\"},{\"attributes\":{},\"id\":\"1223\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1281\"},\"group\":null,\"major_label_policy\":{\"id\":\"1282\"},\"ticker\":{\"id\":\"1228\"}},\"id\":\"1227\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1238\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1240\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1236\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1241\"}},\"id\":\"1237\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1235\",\"type\":\"PanTool\"},{\"attributes\":{\"axis\":{\"id\":\"1227\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1230\",\"type\":\"Grid\"},{\"attributes\":{\"axis\":{\"id\":\"1231\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1234\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1283\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1232\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#7FC97F\"},\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"value\":\"#7FC97F\"},\"inner_radius\":{\"units\":\"screen\",\"value\":10},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#7FC97F\"},\"outer_radius\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1251\",\"type\":\"Annulus\"},{\"attributes\":{},\"id\":\"1239\",\"type\":\"ResetTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1241\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1279\",\"type\":\"AllLabels\"},{\"attributes\":{\"tools\":[{\"id\":\"1235\"},{\"id\":\"1236\"},{\"id\":\"1237\"},{\"id\":\"1238\"},{\"id\":\"1239\"},{\"id\":\"1240\"}]},\"id\":\"1242\",\"type\":\"Toolbar\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"annulus\"},\"id\":\"1217\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1278\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1249\"},\"glyph\":{\"id\":\"1250\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1252\"},\"nonselection_glyph\":{\"id\":\"1251\"},\"view\":{\"id\":\"1254\"}},\"id\":\"1253\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1249\"}},\"id\":\"1254\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1228\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1219\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1281\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1278\"},\"group\":null,\"major_label_policy\":{\"id\":\"1279\"},\"ticker\":{\"id\":\"1232\"}},\"id\":\"1231\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1284\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1282\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1225\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1221\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_color\":{\"value\":\"#7FC97F\"},\"hatch_color\":{\"value\":\"#7FC97F\"},\"inner_radius\":{\"units\":\"screen\",\"value\":10},\"line_color\":{\"value\":\"#7FC97F\"},\"outer_radius\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1250\",\"type\":\"Annulus\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"1284\"},\"selection_policy\":{\"id\":\"1283\"}},\"id\":\"1249\",\"type\":\"ColumnDataSource\"}],\"root_ids\":[\"1216\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"657b3850-0933-482c-aaef-75072316b55c\",\"root_ids\":[\"1216\"],\"roots\":{\"1216\":\"29f13694-a7ce-48f3-918f-edfd3eb35713\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1216"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2. 环状\n",
    "p = figure(title=\"annulus\")\n",
    "p.annulus(x, y, 10, 20,  color=\"#7FC97F\",inner_radius_units=\"screen\", outer_radius_units=\"screen\")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9b004fee",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"3c9415d3-f5de-4e29-bc19-591ee0e24190\" data-root-id=\"1336\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"f67e4a24-2588-4cfb-956e-2d9b9fdc6036\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1347\"}],\"center\":[{\"id\":\"1350\"},{\"id\":\"1354\"}],\"left\":[{\"id\":\"1351\"}],\"renderers\":[{\"id\":\"1373\"}],\"title\":{\"id\":\"1337\"},\"toolbar\":{\"id\":\"1362\"},\"x_range\":{\"id\":\"1339\"},\"x_scale\":{\"id\":\"1343\"},\"y_range\":{\"id\":\"1341\"},\"y_scale\":{\"id\":\"1345\"}},\"id\":\"1336\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1348\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1359\",\"type\":\"ResetTool\"},{\"attributes\":{\"source\":{\"id\":\"1369\"}},\"id\":\"1374\",\"type\":\"CDSView\"},{\"attributes\":{\"axis\":{\"id\":\"1347\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1350\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1343\",\"type\":\"LinearScale\"},{\"attributes\":{\"end_angle\":{\"value\":4.1},\"line_color\":{\"value\":\"#BEAED4\"},\"line_width\":{\"value\":3},\"radius\":{\"units\":\"screen\",\"value\":20},\"start_angle\":{\"value\":0.6},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1370\",\"type\":\"Arc\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1411\"},\"group\":null,\"major_label_policy\":{\"id\":\"1412\"},\"ticker\":{\"id\":\"1348\"}},\"id\":\"1347\",\"type\":\"LinearAxis\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1361\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"end_angle\":{\"value\":4.1},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"#BEAED4\"},\"line_width\":{\"value\":3},\"radius\":{\"units\":\"screen\",\"value\":20},\"start_angle\":{\"value\":0.6},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1372\",\"type\":\"Arc\"},{\"attributes\":{},\"id\":\"1360\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1408\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis\":{\"id\":\"1351\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1354\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1352\",\"type\":\"BasicTicker\"},{\"attributes\":{\"end_angle\":{\"value\":4.1},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#BEAED4\"},\"line_width\":{\"value\":3},\"radius\":{\"units\":\"screen\",\"value\":20},\"start_angle\":{\"value\":0.6},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1371\",\"type\":\"Arc\"},{\"attributes\":{},\"id\":\"1413\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1356\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1355\",\"type\":\"PanTool\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1369\"},\"glyph\":{\"id\":\"1370\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1372\"},\"nonselection_glyph\":{\"id\":\"1371\"},\"view\":{\"id\":\"1374\"}},\"id\":\"1373\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"overlay\":{\"id\":\"1361\"}},\"id\":\"1357\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1358\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1414\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1411\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1409\",\"type\":\"AllLabels\"},{\"attributes\":{\"tools\":[{\"id\":\"1355\"},{\"id\":\"1356\"},{\"id\":\"1357\"},{\"id\":\"1358\"},{\"id\":\"1359\"},{\"id\":\"1360\"}]},\"id\":\"1362\",\"type\":\"Toolbar\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"1414\"},\"selection_policy\":{\"id\":\"1413\"}},\"id\":\"1369\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1412\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1339\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1341\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1345\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"arc\"},\"id\":\"1337\",\"type\":\"Title\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1408\"},\"group\":null,\"major_label_policy\":{\"id\":\"1409\"},\"ticker\":{\"id\":\"1352\"}},\"id\":\"1351\",\"type\":\"LinearAxis\"}],\"root_ids\":[\"1336\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"f67e4a24-2588-4cfb-956e-2d9b9fdc6036\",\"root_ids\":[\"1336\"],\"roots\":{\"1336\":\"3c9415d3-f5de-4e29-bc19-591ee0e24190\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1336"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3.弧线\n",
    "p = figure(title=\"arc\")\n",
    "p.arc(x, y,20, 0.6, 4.1,radius_units = \"screen\" , color=\"#BEAED4\",line_width=3)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c6611022",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"be73394f-fafb-44e0-b4e9-eb30210316be\" data-root-id=\"1466\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"7bd8b4ac-0f58-4e42-9524-5b2259b703aa\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1477\"}],\"center\":[{\"id\":\"1480\"},{\"id\":\"1484\"}],\"left\":[{\"id\":\"1481\"}],\"renderers\":[{\"id\":\"1503\"}],\"title\":{\"id\":\"1467\"},\"toolbar\":{\"id\":\"1492\"},\"x_range\":{\"id\":\"1469\"},\"x_scale\":{\"id\":\"1473\"},\"y_range\":{\"id\":\"1471\"},\"y_scale\":{\"id\":\"1475\"}},\"id\":\"1466\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1488\",\"type\":\"SaveTool\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1551\"},\"group\":null,\"major_label_policy\":{\"id\":\"1552\"},\"ticker\":{\"id\":\"1478\"}},\"id\":\"1477\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1471\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1489\",\"type\":\"ResetTool\"},{\"attributes\":{\"axis\":{\"id\":\"1481\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1484\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1490\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1486\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1554\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1485\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1482\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1469\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1548\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"overlay\":{\"id\":\"1491\"}},\"id\":\"1487\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1478\",\"type\":\"BasicTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1491\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"bezier\"},\"id\":\"1467\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1549\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1475\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1551\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1473\",\"type\":\"LinearScale\"},{\"attributes\":{\"cx0\":{\"field\":\"cx0\"},\"cx1\":{\"field\":\"cx1\"},\"cy0\":{\"field\":\"cy0\"},\"cy1\":{\"field\":\"cy1\"},\"line_color\":{\"value\":\"#8073AC\"},\"line_width\":{\"value\":2},\"x0\":{\"field\":\"x0\"},\"x1\":{\"field\":\"x1\"},\"y0\":{\"field\":\"y0\"},\"y1\":{\"field\":\"y1\"}},\"id\":\"1500\",\"type\":\"Bezier\"},{\"attributes\":{\"cx0\":{\"field\":\"cx0\"},\"cx1\":{\"field\":\"cx1\"},\"cy0\":{\"field\":\"cy0\"},\"cy1\":{\"field\":\"cy1\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#8073AC\"},\"line_width\":{\"value\":2},\"x0\":{\"field\":\"x0\"},\"x1\":{\"field\":\"x1\"},\"y0\":{\"field\":\"y0\"},\"y1\":{\"field\":\"y1\"}},\"id\":\"1501\",\"type\":\"Bezier\"},{\"attributes\":{\"axis\":{\"id\":\"1477\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1480\",\"type\":\"Grid\"},{\"attributes\":{\"tools\":[{\"id\":\"1485\"},{\"id\":\"1486\"},{\"id\":\"1487\"},{\"id\":\"1488\"},{\"id\":\"1489\"},{\"id\":\"1490\"}]},\"id\":\"1492\",\"type\":\"Toolbar\"},{\"attributes\":{\"cx0\":{\"field\":\"cx0\"},\"cx1\":{\"field\":\"cx1\"},\"cy0\":{\"field\":\"cy0\"},\"cy1\":{\"field\":\"cy1\"},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"#8073AC\"},\"line_width\":{\"value\":2},\"x0\":{\"field\":\"x0\"},\"x1\":{\"field\":\"x1\"},\"y0\":{\"field\":\"y0\"},\"y1\":{\"field\":\"y1\"}},\"id\":\"1502\",\"type\":\"Bezier\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1499\"},\"glyph\":{\"id\":\"1500\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1502\"},\"nonselection_glyph\":{\"id\":\"1501\"},\"view\":{\"id\":\"1504\"}},\"id\":\"1503\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1548\"},\"group\":null,\"major_label_policy\":{\"id\":\"1549\"},\"ticker\":{\"id\":\"1482\"}},\"id\":\"1481\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1552\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1553\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"data\":{\"cx0\":{\"__ndarray__\":\"ZmZmZmZm/r9mZmZmZmb2v83MzMzMzOy/mpmZmZmZ2b+amZmZmZm5PzMzMzMzM+M/mpmZmZmZ8T+amZmZmZn5P83MzMzMzABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"cx1\":{\"__ndarray__\":\"zczMzMzMAMCamZmZmZn5v5qZmZmZmfG/MzMzMzMz47+amZmZmZm5v5qZmZmZmdk/zczMzMzM7D9mZmZmZmb2P2ZmZmZmZv4/\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"cy0\":{\"__ndarray__\":\"ZmZmZmZmEEDNzMzMzMwCQJqZmZmZmfE/ZmZmZmZm1j+amZmZmZm5P2ZmZmZmZtY/mpmZmZmZ8T/NzMzMzMwCQGZmZmZmZhBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"cy1\":{\"__ndarray__\":\"MzMzMzMzD0AzMzMzMzMBQM3MzMzMzOw/MzMzMzMzwz+amZmZmZm5vzMzMzMzM8M/zczMzMzM7D8zMzMzMzMBQDMzMzMzMw9A\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"x0\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"x1\":{\"__ndarray__\":\"zczMzMzM/L/NzMzMzMz0v5qZmZmZmem/MzMzMzMz07+amZmZmZnJP2ZmZmZmZuY/MzMzMzMz8z8zMzMzMzP7P5qZmZmZmQFA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y0\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y1\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"1554\"},\"selection_policy\":{\"id\":\"1553\"}},\"id\":\"1499\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"1499\"}},\"id\":\"1504\",\"type\":\"CDSView\"}],\"root_ids\":[\"1466\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"7bd8b4ac-0f58-4e42-9524-5b2259b703aa\",\"root_ids\":[\"1466\"],\"roots\":{\"1466\":\"be73394f-fafb-44e0-b4e9-eb30210316be\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1466"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 4. bezier\n",
    "p = figure(title= \"bezier\")\n",
    "p.bezier(x, y, x+0.2, y, x+0.1, y+0.1,x-0.1, y-0.1,color=\"#8073AC\", line_width=2)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "354de27b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"44937078-fb8e-4b79-8c27-52ca5fc944c1\" data-root-id=\"1606\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"92037119-8a9a-4606-bf09-97e50f35f6a2\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1617\"}],\"center\":[{\"id\":\"1620\"},{\"id\":\"1624\"}],\"left\":[{\"id\":\"1621\"}],\"renderers\":[{\"id\":\"1643\"}],\"title\":{\"id\":\"1607\"},\"toolbar\":{\"id\":\"1632\"},\"x_range\":{\"id\":\"1609\"},\"x_scale\":{\"id\":\"1613\"},\"y_range\":{\"id\":\"1611\"},\"y_scale\":{\"id\":\"1615\"}},\"id\":\"1606\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1701\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1631\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1639\"},\"glyph\":{\"id\":\"1640\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1642\"},\"nonselection_glyph\":{\"id\":\"1641\"},\"view\":{\"id\":\"1644\"}},\"id\":\"1643\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1702\",\"type\":\"AllLabels\"},{\"attributes\":{\"overlay\":{\"id\":\"1631\"}},\"id\":\"1627\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1629\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1625\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1703\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#3288BD\"},\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"value\":\"#3288BD\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#3288BD\"},\"radius\":{\"value\":0.1},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1641\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1704\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1611\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1615\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"circle\"},\"id\":\"1607\",\"type\":\"Title\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"1704\"},\"selection_policy\":{\"id\":\"1703\"}},\"id\":\"1639\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1698\"},\"group\":null,\"major_label_policy\":{\"id\":\"1699\"},\"ticker\":{\"id\":\"1622\"}},\"id\":\"1621\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1618\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1617\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1620\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1613\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1701\"},\"group\":null,\"major_label_policy\":{\"id\":\"1702\"},\"ticker\":{\"id\":\"1618\"}},\"id\":\"1617\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1609\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1626\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"#3288BD\"},\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"value\":\"#3288BD\"},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"#3288BD\"},\"radius\":{\"value\":0.1},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1642\",\"type\":\"Circle\"},{\"attributes\":{\"source\":{\"id\":\"1639\"}},\"id\":\"1644\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1628\",\"type\":\"SaveTool\"},{\"attributes\":{\"axis\":{\"id\":\"1621\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1624\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1630\",\"type\":\"HelpTool\"},{\"attributes\":{\"tools\":[{\"id\":\"1625\"},{\"id\":\"1626\"},{\"id\":\"1627\"},{\"id\":\"1628\"},{\"id\":\"1629\"},{\"id\":\"1630\"}]},\"id\":\"1632\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1698\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1622\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_color\":{\"value\":\"#3288BD\"},\"hatch_color\":{\"value\":\"#3288BD\"},\"line_color\":{\"value\":\"#3288BD\"},\"radius\":{\"value\":0.1},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1640\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1699\",\"type\":\"AllLabels\"}],\"root_ids\":[\"1606\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"92037119-8a9a-4606-bf09-97e50f35f6a2\",\"root_ids\":[\"1606\"],\"roots\":{\"1606\":\"44937078-fb8e-4b79-8c27-52ca5fc944c1\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1606"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5.circle\n",
    "p = figure(title=\"circle\")\n",
    "p.circle(x, y, radius=0.1, color=\"#3288BD\")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "eaf7b186",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"70fc1853-f753-4ce6-9cab-1a03db89d4a2\" data-root-id=\"1756\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"81d564fe-3cbe-4349-8e3e-636994d43d83\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1767\"}],\"center\":[{\"id\":\"1770\"},{\"id\":\"1774\"}],\"left\":[{\"id\":\"1771\"}],\"renderers\":[{\"id\":\"1793\"}],\"title\":{\"id\":\"1757\"},\"toolbar\":{\"id\":\"1782\"},\"x_range\":{\"id\":\"1759\"},\"x_scale\":{\"id\":\"1763\"},\"y_range\":{\"id\":\"1761\"},\"y_scale\":{\"id\":\"1765\"}},\"id\":\"1756\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1861\"},\"group\":null,\"major_label_policy\":{\"id\":\"1862\"},\"ticker\":{\"id\":\"1768\"}},\"id\":\"1767\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1780\",\"type\":\"HelpTool\"},{\"attributes\":{\"axis\":{\"id\":\"1771\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1774\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1772\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"1864\"},\"selection_policy\":{\"id\":\"1863\"}},\"id\":\"1789\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1858\"},\"group\":null,\"major_label_policy\":{\"id\":\"1859\"},\"ticker\":{\"id\":\"1772\"}},\"id\":\"1771\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1776\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1775\",\"type\":\"PanTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1781\"}},\"id\":\"1777\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1778\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1779\",\"type\":\"ResetTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1781\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"line\"},\"id\":\"1757\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1761\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1858\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1863\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1859\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1862\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1759\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1861\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#F46D43\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1791\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1765\",\"type\":\"LinearScale\"},{\"attributes\":{\"line_color\":\"#F46D43\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1790\",\"type\":\"Line\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1789\"},\"glyph\":{\"id\":\"1790\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1792\"},\"nonselection_glyph\":{\"id\":\"1791\"},\"view\":{\"id\":\"1794\"}},\"id\":\"1793\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"tools\":[{\"id\":\"1775\"},{\"id\":\"1776\"},{\"id\":\"1777\"},{\"id\":\"1778\"},{\"id\":\"1779\"},{\"id\":\"1780\"}]},\"id\":\"1782\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1864\",\"type\":\"Selection\"},{\"attributes\":{\"source\":{\"id\":\"1789\"}},\"id\":\"1794\",\"type\":\"CDSView\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"#F46D43\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1792\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1768\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1767\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1770\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1763\",\"type\":\"LinearScale\"}],\"root_ids\":[\"1756\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"81d564fe-3cbe-4349-8e3e-636994d43d83\",\"root_ids\":[\"1756\"],\"roots\":{\"1756\":\"70fc1853-f753-4ce6-9cab-1a03db89d4a2\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1756"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 6.line\n",
    "p = figure(title=\"line\")\n",
    "p.line(x, y, color= \"#F46D43\")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1f7a9cc2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"a84e6ef7-10f8-408f-bc57-3adcc23526c7\" data-root-id=\"1916\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"451b4317-d0dd-4f77-8dab-b00c16492b31\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1927\"}],\"center\":[{\"id\":\"1930\"},{\"id\":\"1934\"}],\"left\":[{\"id\":\"1931\"}],\"renderers\":[{\"id\":\"1953\"}],\"title\":{\"id\":\"1917\"},\"toolbar\":{\"id\":\"1942\"},\"x_range\":{\"id\":\"1919\"},\"x_scale\":{\"id\":\"1923\"},\"y_range\":{\"id\":\"1921\"},\"y_scale\":{\"id\":\"1925\"}},\"id\":\"1916\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"2028\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1921\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1925\",\"type\":\"LinearScale\"},{\"attributes\":{\"tools\":[{\"id\":\"1935\"},{\"id\":\"1936\"},{\"id\":\"1937\"},{\"id\":\"1938\"},{\"id\":\"1939\"},{\"id\":\"1940\"}]},\"id\":\"1942\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1935\",\"type\":\"PanTool\"},{\"attributes\":{\"data\":{\"xs\":[{\"__ndarray__\":\"uB6F61G4AMD2KFyPwvUAwAAAAAAAAADAFK5H4XoU/r+PwvUoXI/+vw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"cT0K16Nw+b/sUbgehev5vwAAAAAAAPi/FK5H4XoU9r+PwvUoXI/2vw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"cT0K16Nw8b/sUbgehevxvwAAAAAAAPC/KVyPwvUo7L8fhetRuB7tvw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"4XoUrkfh4r/Xo3A9CtfjvwAAAAAAAOC/UrgehetR2L8+CtejcD3avw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"CtejcD0Kt7+4HoXrUbi+vwAAAAAAAAAAuB6F61G4vj8K16NwPQq3Pw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"PgrXo3A92j9SuB6F61HYPwAAAAAAAOA/16NwPQrX4z/hehSuR+HiPw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"H4XrUbge7T8pXI/C9SjsPwAAAAAAAPA/7FG4HoXr8T9xPQrXo3DxPw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"j8L1KFyP9j8UrkfhehT2PwAAAAAAAPg/7FG4HoXr+T9xPQrXo3D5Pw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"j8L1KFyP/j8UrkfhehT+PwAAAAAAAABA9ihcj8L1AEC4HoXrUbgAQA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]}],\"ys\":[{\"__ndarray__\":\"MzMzMzMzD0AUrkfhehQQQGZmZmZmZhBAFK5H4XoUEEAzMzMzMzMPQA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"MzMzMzMzAUApXI/C9SgCQM3MzMzMzAJAKVyPwvUoAkAzMzMzMzMBQA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"zczMzMzM7D9SuB6F61HwP5qZmZmZmfE/UrgehetR8D/NzMzMzMzsPw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"MzMzMzMzwz9I4XoUrkfRP2ZmZmZmZtY/SOF6FK5H0T8zMzMzMzPDPw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"mpmZmZmZub97FK5H4XqUP5qZmZmZmbk/exSuR+F6lD+amZmZmZm5vw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"MzMzMzMzwz9I4XoUrkfRP2ZmZmZmZtY/SOF6FK5H0T8zMzMzMzPDPw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"zczMzMzM7D9SuB6F61HwP5qZmZmZmfE/UrgehetR8D/NzMzMzMzsPw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"MzMzMzMzAUApXI/C9SgCQM3MzMzMzAJAKVyPwvUoAkAzMzMzMzMBQA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]},{\"__ndarray__\":\"MzMzMzMzD0AUrkfhehQQQGZmZmZmZhBAFK5H4XoUEEAzMzMzMzMPQA==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[5]}]},\"selected\":{\"id\":\"2034\"},\"selection_policy\":{\"id\":\"2033\"}},\"id\":\"1949\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1928\",\"type\":\"BasicTicker\"},{\"attributes\":{\"overlay\":{\"id\":\"1941\"}},\"id\":\"1937\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1940\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"2034\",\"type\":\"Selection\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"2028\"},\"group\":null,\"major_label_policy\":{\"id\":\"2029\"},\"ticker\":{\"id\":\"1932\"}},\"id\":\"1931\",\"type\":\"LinearAxis\"},{\"attributes\":{\"line_color\":{\"value\":\"#8073AC\"},\"line_width\":{\"value\":2},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"1950\",\"type\":\"MultiLine\"},{\"attributes\":{},\"id\":\"1936\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"multi_line\"},\"id\":\"1917\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1932\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1931\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1934\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1923\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"2031\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"source\":{\"id\":\"1949\"}},\"id\":\"1954\",\"type\":\"CDSView\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"2031\"},\"group\":null,\"major_label_policy\":{\"id\":\"2032\"},\"ticker\":{\"id\":\"1928\"}},\"id\":\"1927\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2033\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1941\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"axis\":{\"id\":\"1927\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1930\",\"type\":\"Grid\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1949\"},\"glyph\":{\"id\":\"1950\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1952\"},\"nonselection_glyph\":{\"id\":\"1951\"},\"view\":{\"id\":\"1954\"}},\"id\":\"1953\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"#8073AC\"},\"line_width\":{\"value\":2},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"1952\",\"type\":\"MultiLine\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#8073AC\"},\"line_width\":{\"value\":2},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"1951\",\"type\":\"MultiLine\"},{\"attributes\":{},\"id\":\"1938\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"2029\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"2032\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1939\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1919\",\"type\":\"DataRange1d\"}],\"root_ids\":[\"1916\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"451b4317-d0dd-4f77-8dab-b00c16492b31\",\"root_ids\":[\"1916\"],\"roots\":{\"1916\":\"a84e6ef7-10f8-408f-bc57-3adcc23526c7\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1916"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 7.multi_line\n",
    "p = figure(title= \"multi_line\")\n",
    "p.multi_line([xpts+xx for xx in x],[ypts+yy for yy in y], color=\"#8073AC\",line_width=2)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "82983d24",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: 'Oval' is deprecated and will be removed in Bokeh 3.0, use the Ellipse glyph instead\n",
      "BokehDeprecationWarning: 'Oval' is deprecated and will be removed in Bokeh 3.0, use the Ellipse glyph instead\n",
      "BokehDeprecationWarning: 'Oval' is deprecated and will be removed in Bokeh 3.0, use the Ellipse glyph instead\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"5ad3a1e6-992e-4b4a-a746-53f3aabe3871\" data-root-id=\"2086\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"ed0cbbf0-3d90-44c0-8cb3-b5ee21b0e2a5\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"2097\"}],\"center\":[{\"id\":\"2100\"},{\"id\":\"2104\"}],\"left\":[{\"id\":\"2101\"}],\"renderers\":[{\"id\":\"2123\"}],\"title\":{\"id\":\"2087\"},\"toolbar\":{\"id\":\"2112\"},\"x_range\":{\"id\":\"2089\"},\"x_scale\":{\"id\":\"2093\"},\"y_range\":{\"id\":\"2091\"},\"y_scale\":{\"id\":\"2095\"}},\"id\":\"2086\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"angle\":{\"value\":-0.7},\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"#1D91C0\"},\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"value\":\"#1D91C0\"},\"height\":{\"units\":\"screen\",\"value\":25},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"#1D91C0\"},\"width\":{\"units\":\"screen\",\"value\":15},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2122\",\"type\":\"Oval\"},{\"attributes\":{\"overlay\":{\"id\":\"2111\"}},\"id\":\"2107\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"axis\":{\"id\":\"2101\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"2104\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2109\",\"type\":\"ResetTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"2111\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"2213\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"2211\"},\"group\":null,\"major_label_policy\":{\"id\":\"2212\"},\"ticker\":{\"id\":\"2098\"}},\"id\":\"2097\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2102\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"2089\",\"type\":\"DataRange1d\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"2208\"},\"group\":null,\"major_label_policy\":{\"id\":\"2209\"},\"ticker\":{\"id\":\"2102\"}},\"id\":\"2101\",\"type\":\"LinearAxis\"},{\"attributes\":{\"source\":{\"id\":\"2119\"}},\"id\":\"2124\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"2214\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"2098\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"2091\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"2093\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis\":{\"id\":\"2097\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"2100\",\"type\":\"Grid\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"2214\"},\"selection_policy\":{\"id\":\"2213\"}},\"id\":\"2119\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"tools\":[{\"id\":\"2105\"},{\"id\":\"2106\"},{\"id\":\"2107\"},{\"id\":\"2108\"},{\"id\":\"2109\"},{\"id\":\"2110\"}]},\"id\":\"2112\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"2105\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"2108\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"2110\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"2095\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"2211\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"2208\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"oval\"},\"id\":\"2087\",\"type\":\"Title\"},{\"attributes\":{\"angle\":{\"value\":-0.7},\"fill_color\":{\"value\":\"#1D91C0\"},\"hatch_color\":{\"value\":\"#1D91C0\"},\"height\":{\"units\":\"screen\",\"value\":25},\"line_color\":{\"value\":\"#1D91C0\"},\"width\":{\"units\":\"screen\",\"value\":15},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2120\",\"type\":\"Oval\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"2119\"},\"glyph\":{\"id\":\"2120\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"2122\"},\"nonselection_glyph\":{\"id\":\"2121\"},\"view\":{\"id\":\"2124\"}},\"id\":\"2123\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"2106\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"2209\",\"type\":\"AllLabels\"},{\"attributes\":{\"angle\":{\"value\":-0.7},\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1D91C0\"},\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"value\":\"#1D91C0\"},\"height\":{\"units\":\"screen\",\"value\":25},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1D91C0\"},\"width\":{\"units\":\"screen\",\"value\":15},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2121\",\"type\":\"Oval\"},{\"attributes\":{},\"id\":\"2212\",\"type\":\"AllLabels\"}],\"root_ids\":[\"2086\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"ed0cbbf0-3d90-44c0-8cb3-b5ee21b0e2a5\",\"root_ids\":[\"2086\"],\"roots\":{\"2086\":\"5ad3a1e6-992e-4b4a-a746-53f3aabe3871\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2086"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 8.oval\n",
    "p = figure(title=\"oval\")\n",
    "p.oval(x,y,15,25, angle=-0.7, color=\"#1D91C0\",width_units=\"screen\", height_units=\"screen\")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "35c932a6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"3b040457-60ff-4702-ba88-23a8fc0e038d\" data-root-id=\"2266\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"8f81202e-8500-4506-9898-1a90563ecb02\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"2277\"}],\"center\":[{\"id\":\"2280\"},{\"id\":\"2284\"}],\"left\":[{\"id\":\"2281\"}],\"renderers\":[{\"id\":\"2303\"}],\"title\":{\"id\":\"2267\"},\"toolbar\":{\"id\":\"2292\"},\"x_range\":{\"id\":\"2269\"},\"x_scale\":{\"id\":\"2273\"},\"y_range\":{\"id\":\"2271\"},\"y_scale\":{\"id\":\"2275\"}},\"id\":\"2266\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"2299\"},\"glyph\":{\"id\":\"2300\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"2302\"},\"nonselection_glyph\":{\"id\":\"2301\"},\"view\":{\"id\":\"2304\"}},\"id\":\"2303\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"2286\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"2288\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"2404\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"2285\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"2289\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"2403\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"2282\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"2404\"},\"selection_policy\":{\"id\":\"2403\"}},\"id\":\"2299\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"2291\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"axis\":{\"id\":\"2281\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"2284\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2290\",\"type\":\"HelpTool\"},{\"attributes\":{\"fill_alpha\":0.2,\"fill_color\":\"#F46D43\",\"hatch_alpha\":0.2,\"hatch_color\":\"#F46D43\",\"line_alpha\":0.2,\"line_color\":\"#F46D43\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2302\",\"type\":\"Patch\"},{\"attributes\":{\"overlay\":{\"id\":\"2291\"}},\"id\":\"2287\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"source\":{\"id\":\"2299\"}},\"id\":\"2304\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"2278\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"2398\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"2399\",\"type\":\"AllLabels\"},{\"attributes\":{\"axis\":{\"id\":\"2277\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"2280\",\"type\":\"Grid\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"2401\"},\"group\":null,\"major_label_policy\":{\"id\":\"2402\"},\"ticker\":{\"id\":\"2278\"}},\"id\":\"2277\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2273\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":0.1,\"fill_color\":\"#F46D43\",\"hatch_alpha\":0.1,\"hatch_color\":\"#F46D43\",\"line_alpha\":0.1,\"line_color\":\"#F46D43\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2301\",\"type\":\"Patch\"},{\"attributes\":{\"fill_color\":\"#F46D43\",\"hatch_color\":\"#F46D43\",\"line_color\":\"#F46D43\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2300\",\"type\":\"Patch\"},{\"attributes\":{},\"id\":\"2401\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"2269\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"2271\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"2275\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"patch\"},\"id\":\"2267\",\"type\":\"Title\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"2398\"},\"group\":null,\"major_label_policy\":{\"id\":\"2399\"},\"ticker\":{\"id\":\"2282\"}},\"id\":\"2281\",\"type\":\"LinearAxis\"},{\"attributes\":{\"tools\":[{\"id\":\"2285\"},{\"id\":\"2286\"},{\"id\":\"2287\"},{\"id\":\"2288\"},{\"id\":\"2289\"},{\"id\":\"2290\"}]},\"id\":\"2292\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"2402\",\"type\":\"AllLabels\"}],\"root_ids\":[\"2266\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"8f81202e-8500-4506-9898-1a90563ecb02\",\"root_ids\":[\"2266\"],\"roots\":{\"2266\":\"3b040457-60ff-4702-ba88-23a8fc0e038d\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2266"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 9. patch\n",
    "p = figure(title=\"patch\" )\n",
    "p.patch(x,y,color=\"#F46D43\")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c69ab2c2",
   "metadata": {},
   "source": [
    "## 组合画法 - 利用append方法组合起来"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "16da5475",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: 'Oval' is deprecated and will be removed in Bokeh 3.0, use the Ellipse glyph instead\n",
      "BokehDeprecationWarning: 'Oval' is deprecated and will be removed in Bokeh 3.0, use the Ellipse glyph instead\n",
      "BokehDeprecationWarning: 'Oval' is deprecated and will be removed in Bokeh 3.0, use the Ellipse glyph instead\n",
      "BokehDeprecationWarning: plot_width and plot_height was deprecated in Bokeh 2.4.0 and will be removed, use width or height instead.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"2eb4d1c0-ffae-4bd7-8982-ca3d1acba34b\" data-root-id=\"4103\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = 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LinearScale\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"4058\"},\"group\":null,\"major_label_policy\":{\"id\":\"4059\"},\"ticker\":{\"id\":\"3762\"}},\"id\":\"3761\",\"type\":\"LinearAxis\"},{\"attributes\":{\"source\":{\"id\":\"3740\"}},\"id\":\"3745\",\"type\":\"CDSView\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"3732\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"3710\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"3712\",\"type\":\"DataRange1d\"},{\"attributes\":{\"below\":[{\"id\":\"3718\"}],\"center\":[{\"id\":\"3721\"},{\"id\":\"3725\"}],\"height\":200,\"left\":[{\"id\":\"3722\"}],\"renderers\":[{\"id\":\"3744\"}],\"title\":{\"id\":\"3708\"},\"toolbar\":{\"id\":\"3733\"},\"toolbar_location\":null,\"width\":200,\"x_range\":{\"id\":\"3710\"},\"x_scale\":{\"id\":\"3714\"},\"y_range\":{\"id\":\"3712\"},\"y_scale\":{\"id\":\"3716\"}},\"id\":\"3707\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#3288BD\"},\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"value\":\"#3288BD\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#3288BD\"},\"radius\":{\"value\":0.1},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3742\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"3716\",\"type\":\"LinearScale\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"circle\"},\"id\":\"3708\",\"type\":\"Title\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"4047\"},\"group\":null,\"major_label_policy\":{\"id\":\"4048\"},\"ticker\":{\"id\":\"3723\"}},\"id\":\"3722\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"4003\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3729\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"4004\",\"type\":\"AllLabels\"},{\"attributes\":{\"axis\":{\"id\":\"3718\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"3721\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"3719\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"3730\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"4006\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3714\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"4007\",\"type\":\"AllLabels\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"4050\"},\"group\":null,\"major_label_policy\":{\"id\":\"4051\"},\"ticker\":{\"id\":\"3719\"}},\"id\":\"3718\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"3731\",\"type\":\"HelpTool\"},{\"attributes\":{\"axis\":{\"id\":\"3722\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"3725\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"3723\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"#3288BD\"},\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"value\":\"#3288BD\"},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"#3288BD\"},\"radius\":{\"value\":0.1},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3743\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"3749\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"3727\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"3726\",\"type\":\"PanTool\"},{\"attributes\":{\"overlay\":{\"id\":\"3732\"}},\"id\":\"3728\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"4069\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"source\":{\"id\":\"3701\"}},\"id\":\"3706\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"4070\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"4072\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAAMAAAAAAAAD4vwAAAAAAAPC/AAAAAAAA4L8AAAAAAAAAAAAAAAAAAOA/AAAAAAAA8D8AAAAAAAD4PwAAAAAAAABA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]},\"y\":{\"__ndarray__\":\"AAAAAAAAEEAAAAAAAAACQAAAAAAAAPA/AAAAAAAA0D8AAAAAAAAAAAAAAAAAANA/AAAAAAAA8D8AAAAAAAACQAAAAAAAABBA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[9]}},\"selected\":{\"id\":\"4053\"},\"selection_policy\":{\"id\":\"4052\"}},\"id\":\"3740\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"4073\",\"type\":\"AllLabels\"}],\"root_ids\":[\"4103\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"dc312712-8563-43b7-8982-57f38a2827b4\",\"root_ids\":[\"4103\"],\"roots\":{\"4103\":\"2eb4d1c0-ffae-4bd7-8982-ca3d1acba34b\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "4103"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. 环状楔\n",
    "p = figure(title=\"annular_wedge\")\n",
    "p.annular_wedge(x, y, 10, 20, 0.6, 4.1, color=\"#8888ee\",inner_radius_units=\"screen\", outer_radius_units=\"screen\")\n",
    "figures.append(p)\n",
    "\n",
    "# 2. 环状\n",
    "p = figure(title=\"annulus\")\n",
    "p.annulus(x, y, 10, 20,  color=\"#7FC97F\",inner_radius_units=\"screen\", outer_radius_units=\"screen\")\n",
    "figures.append(p)\n",
    "\n",
    "# 3.arc\n",
    "p = figure(title=\"arc\")\n",
    "p.arc(x, y,20, 0.6, 4.1,radius_units = \"screen\" , color=\"#BEAED4\",line_width=3)\n",
    "figures.append(p)\n",
    "\n",
    "# 4. bezier\n",
    "p = figure(title= \"bezier\")\n",
    "p.bezier(x, y, x+0.2, y, x+0.1, y+0.1,x-0.1, y-0.1,color=\"#8073AC\", line_width=2)\n",
    "figures.append(p)\n",
    "\n",
    "# 5.circle\n",
    "p = figure(title=\"circle\")\n",
    "p.circle(x, y, radius=0.1, color=\"#3288BD\")\n",
    "figures.append(p)\n",
    "\n",
    "# 6.line\n",
    "p = figure(title=\"line\")\n",
    "p.line(x, y, color= \"#F46D43\")\n",
    "figures.append(p)\n",
    "\n",
    "# 7.multi_line\n",
    "p = figure(title= \"multi_line\")\n",
    "p.multi_line([xpts+xx for xx in x],[ypts+yy for yy in y], color=\"#8073AC\",line_width=2)\n",
    "figures.append(p)\n",
    "\n",
    "# 8.oval\n",
    "p = figure(title=\"oval\")\n",
    "p.oval(x,y,15,25, angle=-0.7, color=\"#1D91C0\",width_units=\"screen\", height_units=\"screen\")\n",
    "figures.append(p)\n",
    "\n",
    "# 9. patch\n",
    "p = figure(title=\"patch\" )\n",
    "p.patch(x,y,color=\"#F46D43\")\n",
    "figures.append(p)\n",
    "\n",
    "# 网格展示\n",
    "# 显示一组图形\n",
    "show(gridplot(figures,ncols=4,plot_width=200,plot_height=200))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9ea7cba",
   "metadata": {},
   "source": [
    "# 鸢尾花数据机机器学习的分类结果"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9c226ba",
   "metadata": {},
   "source": [
    "<img src=\"https://img1.baidu.com/it/u=2549890839,543267714&fm=253&fmt=auto&app=138&f=JPEG?w=666&h=500\" width=500>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd4e9448",
   "metadata": {},
   "source": [
    "## 鸢尾花品种及分类标记"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5c62f494",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 鸢尾花数据机机器学习的分类结果\n",
    "# 准备工作 - 导入库\n",
    "from bokeh.sampledata.iris import flowers\n",
    "from bokeh.transform import factor_cmap,factor_mark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5797af12",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: 'legend' keyword is deprecated, use explicit 'legend_label', 'legend_field', or 'legend_group' keywords instead\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"4eabb3f8-ff7d-4dfd-8b36-420cc2621cba\" data-root-id=\"5375\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = 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Length\",\"coordinates\":null,\"formatter\":{\"id\":\"5422\"},\"group\":null,\"major_label_policy\":{\"id\":\"5423\"},\"ticker\":{\"id\":\"5387\"}},\"id\":\"5386\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"5380\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"5423\",\"type\":\"AllLabels\"},{\"attributes\":{\"factors\":[\"setosa\",\"versicolor\",\"virginica\"],\"palette\":[\"#1f77b4\",\"#ff7f0e\",\"#2ca02c\"]},\"id\":\"5409\",\"type\":\"CategoricalColorMapper\"},{\"attributes\":{\"overlay\":{\"id\":\"5400\"}},\"id\":\"5396\",\"type\":\"BoxZoomTool\"}],\"root_ids\":[\"5375\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"89151183-fd20-470e-b6f4-f956de6a67eb\",\"root_ids\":[\"5375\"],\"roots\":{\"5375\":\"4eabb3f8-ff7d-4dfd-8b36-420cc2621cba\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "5375"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 鸢尾花品种及分类标记\n",
    "SPECIES = ['setosa','versicolor','virginica']\n",
    "MARKERS = ['hex','circle_x','triangle']\n",
    "# 画布\n",
    "p = figure(title = \"Iris Morphology\",background_fill_color=\"#fafafa\")\n",
    "# 绘图\n",
    "p.scatter(\"petal_length\",\"sepal_width\",source=flowers,legend= \"species\",fill_alpha=0.4,size=12,\n",
    "         marker=factor_mark('species',MARKERS,SPECIES),\n",
    "         color=factor_cmap('species','Category10_3',SPECIES))\n",
    "\n",
    "# 其他\n",
    "p.xaxis.axis_label = 'Petal Length'\n",
    "p.yaxis.axis_label = 'Petal Length'\n",
    "# 显示\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c08482d9",
   "metadata": {},
   "source": [
    "# 散点图（scatter）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab96d878",
   "metadata": {},
   "source": [
    "## 示例1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "bfc88937",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 示例1\n",
    "# 导入数据\n",
    "x = [1,2,3,4,5]\n",
    "y = [6,7,2,4,5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "264d2eff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 画布：尺寸\n",
    "p = figure(plot_width=400,plot_height=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cf5bb833",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"display: table;\"><div style=\"display: table-row;\"><div style=\"display: table-cell;\"><b title=\"bokeh.models.renderers.GlyphRenderer\">GlyphRenderer</b>(</div><div style=\"display: table-cell;\">id&nbsp;=&nbsp;'6379', <span id=\"6382\" style=\"cursor: pointer;\">&hellip;)</span></div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">coordinates&nbsp;=&nbsp;None,</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">data_source&nbsp;=&nbsp;ColumnDataSource(id='6375', ...),</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">glyph&nbsp;=&nbsp;Circle(id='6376', ...),</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">group&nbsp;=&nbsp;None,</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">hover_glyph&nbsp;=&nbsp;None,</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_event_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_property_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">level&nbsp;=&nbsp;'glyph',</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">muted&nbsp;=&nbsp;False,</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">muted_glyph&nbsp;=&nbsp;Circle(id='6378', ...),</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">nonselection_glyph&nbsp;=&nbsp;Circle(id='6377', ...),</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selection_glyph&nbsp;=&nbsp;'auto',</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">syncable&nbsp;=&nbsp;True,</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[],</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">view&nbsp;=&nbsp;CDSView(id='6380', ...),</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">visible&nbsp;=&nbsp;True,</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">x_range_name&nbsp;=&nbsp;'default',</div></div><div class=\"6381\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">y_range_name&nbsp;=&nbsp;'default')</div></div></div>\n",
       "<script>\n",
       "(function() {\n",
       "  let expanded = false;\n",
       "  const ellipsis = document.getElementById(\"6382\");\n",
       "  ellipsis.addEventListener(\"click\", function() {\n",
       "    const rows = document.getElementsByClassName(\"6381\");\n",
       "    for (let i = 0; i < rows.length; i++) {\n",
       "      const el = rows[i];\n",
       "      el.style.display = expanded ? \"none\" : \"table-row\";\n",
       "    }\n",
       "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
       "    expanded = !expanded;\n",
       "  });\n",
       "})();\n",
       "</script>\n"
      ],
      "text/plain": [
       "GlyphRenderer(id='6379', ...)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 画图\n",
    "p.scatter(x,y,\n",
    "         size = 20,  # 显示器像素单位\n",
    "         radius=0.1, # 坐标轴单位\n",
    "         marker='circle',color=\"navy\",alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8b156b63",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"2470fc6c-78f3-45a9-ae6b-23ca9babde09\" data-root-id=\"6344\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = {\"fca52e9f-bf8e-46af-8591-68c5b6a0451d\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"6353\"}],\"center\":[{\"id\":\"6356\"},{\"id\":\"6360\"}],\"height\":400,\"left\":[{\"id\":\"6357\"}],\"renderers\":[{\"id\":\"6379\"}],\"title\":{\"id\":\"6775\"},\"toolbar\":{\"id\":\"6368\"},\"width\":400,\"x_range\":{\"id\":\"6345\"},\"x_scale\":{\"id\":\"6349\"},\"y_range\":{\"id\":\"6347\"},\"y_scale\":{\"id\":\"6351\"}},\"id\":\"6344\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"6375\"},\"glyph\":{\"id\":\"6376\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"6378\"},\"nonselection_glyph\":{\"id\":\"6377\"},\"view\":{\"id\":\"6380\"}},\"id\":\"6379\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"6361\",\"type\":\"PanTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"navy\"},\"hatch_alpha\":{\"value\":0.2},\"hatch_color\":{\"value\":\"navy\"},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"navy\"},\"radius\":{\"value\":0.1},\"size\":{\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6378\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"6778\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"6779\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"6781\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"6367\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"data\":{\"x\":[1,2,3,4,5],\"y\":[6,7,2,4,5]},\"selected\":{\"id\":\"6784\"},\"selection_policy\":{\"id\":\"6783\"}},\"id\":\"6375\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"navy\"},\"hatch_alpha\":{\"value\":0.1},\"hatch_color\":{\"value\":\"navy\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"navy\"},\"radius\":{\"value\":0.1},\"size\":{\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6377\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"6782\",\"type\":\"AllLabels\"},{\"attributes\":{\"tools\":[{\"id\":\"6361\"},{\"id\":\"6362\"},{\"id\":\"6363\"},{\"id\":\"6364\"},{\"id\":\"6365\"},{\"id\":\"6366\"}]},\"id\":\"6368\",\"type\":\"Toolbar\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"6775\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"6365\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"6358\",\"type\":\"BasicTicker\"},{\"attributes\":{\"overlay\":{\"id\":\"6367\"}},\"id\":\"6363\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"6345\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"6362\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"6784\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"6347\",\"type\":\"DataRange1d\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"6778\"},\"group\":null,\"major_label_policy\":{\"id\":\"6779\"},\"ticker\":{\"id\":\"6358\"}},\"id\":\"6357\",\"type\":\"LinearAxis\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"6781\"},\"group\":null,\"major_label_policy\":{\"id\":\"6782\"},\"ticker\":{\"id\":\"6354\"}},\"id\":\"6353\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"navy\"},\"hatch_alpha\":{\"value\":0.5},\"hatch_color\":{\"value\":\"navy\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"value\":\"navy\"},\"radius\":{\"value\":0.1},\"size\":{\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6376\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"6351\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"6349\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"6366\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"6354\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"6364\",\"type\":\"SaveTool\"},{\"attributes\":{\"axis\":{\"id\":\"6353\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"6356\",\"type\":\"Grid\"},{\"attributes\":{\"axis\":{\"id\":\"6357\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"6360\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"6783\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"source\":{\"id\":\"6375\"}},\"id\":\"6380\",\"type\":\"CDSView\"}],\"root_ids\":[\"6344\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"fca52e9f-bf8e-46af-8591-68c5b6a0451d\",\"root_ids\":[\"6344\"],\"roots\":{\"6344\":\"2470fc6c-78f3-45a9-ae6b-23ca9babde09\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "6344"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 显示\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d3166f2",
   "metadata": {},
   "source": [
    "## 示例2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "965f513e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据\n",
    "N= 4000\n",
    "x=np.random.random(size=N) *100 #随机点x坐标\n",
    "y= np.random.random(size=N)*100 #随机点y坐标\n",
    "radii= np.random.random(size=N)*1.5 #随机半径"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "554730b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"ea5896ea-811b-49c6-aa98-adf414f4ef1c\" data-root-id=\"9895\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  const docs_json = 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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[4000]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[4000]},\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[4000]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[4000]}},\"selected\":{\"id\":\"9886\"},\"selection_policy\":{\"id\":\"9885\"}},\"id\":\"9856\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"9883\"},\"group\":null,\"major_label_policy\":{\"id\":\"9884\"},\"ticker\":{\"id\":\"9822\"}},\"id\":\"9821\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"9815\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"9819\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"9832\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"9822\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"9830\",\"type\":\"CrosshairTool\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"9877\",\"type\":\"Title\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"9840\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"9841\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"syncable\":false,\"xs_units\":\"screen\",\"ys_units\":\"screen\"},\"id\":\"9842\",\"type\":\"PolyAnnotation\"},{\"attributes\":{\"axis\":{\"id\":\"9825\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"9828\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"9765\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"9817\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"fill_color\"},\"hatch_alpha\":{\"value\":0.1},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":null},\"radius\":{\"field\":\"radius\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9858\",\"type\":\"Circle\"},{\"attributes\":{\"coordinates\":null,\"group\":null},\"id\":\"9862\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"9834\",\"type\":\"ResetTool\"},{\"attributes\":{\"overlay\":{\"id\":\"9842\"}},\"id\":\"9839\",\"type\":\"LassoSelectTool\"},{\"attributes\":{},\"id\":\"9831\",\"type\":\"PanTool\"},{\"attributes\":{\"callback\":null},\"id\":\"9835\",\"type\":\"TapTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"field\":\"fill_color\"},\"hatch_alpha\":{\"value\":0.2},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":null},\"radius\":{\"field\":\"radius\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9859\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"9836\",\"type\":\"SaveTool\"},{\"attributes\":{\"overlay\":{\"id\":\"9840\"}},\"id\":\"9837\",\"type\":\"BoxSelectTool\"},{\"attributes\":{\"overlay\":{\"id\":\"9843\"}},\"id\":\"9838\",\"type\":\"PolySelectTool\"},{\"attributes\":{\"callback\":null},\"id\":\"9829\",\"type\":\"HoverTool\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"9856\"},\"glyph\":{\"id\":\"9857\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"9859\"},\"nonselection_glyph\":{\"id\":\"9858\"},\"view\":{\"id\":\"9861\"}},\"id\":\"9860\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"syncable\":false,\"xs_units\":\"screen\",\"ys_units\":\"screen\"},\"id\":\"9843\",\"type\":\"PolyAnnotation\"},{\"attributes\":{\"source\":{\"id\":\"9856\"}},\"id\":\"9861\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"9880\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"9881\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"9885\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"9883\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"tools\":[{\"id\":\"9829\"},{\"id\":\"9830\"},{\"id\":\"9831\"},{\"id\":\"9832\"},{\"id\":\"9833\"},{\"id\":\"9834\"},{\"id\":\"9835\"},{\"id\":\"9836\"},{\"id\":\"9837\"},{\"id\":\"9838\"},{\"id\":\"9839\"}]},\"id\":\"9844\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"9886\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"9884\",\"type\":\"AllLabels\"},{\"attributes\":{\"toolbars\":[{\"id\":\"9794\"},{\"id\":\"9844\"}],\"tools\":[{\"id\":\"9779\"},{\"id\":\"9780\"},{\"id\":\"9781\"},{\"id\":\"9782\"},{\"id\":\"9783\"},{\"id\":\"9784\"},{\"id\":\"9785\"},{\"id\":\"9786\"},{\"id\":\"9787\"},{\"id\":\"9788\"},{\"id\":\"9789\"},{\"id\":\"9829\"},{\"id\":\"9830\"},{\"id\":\"9831\"},{\"id\":\"9832\"},{\"id\":\"9833\"},{\"id\":\"9834\"},{\"id\":\"9835\"},{\"id\":\"9836\"},{\"id\":\"9837\"},{\"id\":\"9838\"},{\"id\":\"9839\"}]},\"id\":\"9893\",\"type\":\"ProxyToolbar\"},{\"attributes\":{\"toolbar\":{\"id\":\"9893\"},\"toolbar_location\":\"above\"},\"id\":\"9894\",\"type\":\"ToolbarBox\"}],\"root_ids\":[\"9895\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.2\"}};\n",
       "  const render_items = [{\"docid\":\"7e2802e4-f1e5-4efe-a14e-5ffcd40dd010\",\"root_ids\":[\"9895\"],\"roots\":{\"9895\":\"ea5896ea-811b-49c6-aa98-adf414f4ef1c\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "9895"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#工具条\n",
    "TOOLS=\"hover, crosshair,pan,wheel_zoom,box_zoom, reset, tap, save, box_select,poly_select, lasso_select\"\n",
    "\n",
    "# RGB颜色，画布1，绘图1\n",
    "colors2 = [\"#%02x%02x%02x\" %(int(r),int(g),150) for r,g in zip(50+2*x,30+2*y)]\n",
    "p1 = figure(width=300,height=300, tools=TOOLS)\n",
    "p1.scatter(x,y, radius=radii, fill_color=colors2,fill_alpha=0.6, line_color =None)\n",
    "\n",
    "# RGB颜色，画布2，绘图2\n",
    "colors2 =[ \"#%02x%02x%02x\"%(150,int(g),int(b) ) for g, b in zip(50+2*x,30+2*y)]\n",
    "p2 = figure(width=300,height=300,tools=TOOLS)\n",
    "p2.scatter(x,y, radius=radii,fill_color=colors2, fill_alpha=0.6, line_color=None)\n",
    "\n",
    "# 网格显示\n",
    "from bokeh.layouts import gridplot\n",
    "grid = gridplot([[p1,p2]])\n",
    "show(grid)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6rc1"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
